Risk management is often viewed as a compliance requirement rather than a strategic capability. However, as agencies face increasingly complex threats, emerging technologies, workforce challenges, and operational disruptions, executives must rethink how they identify, assess, and manage risk. This article examines how government leaders can transform risk management from a defensive exercise into a source… Read more »
In this video interview, Laserfiche’s Andy MacIsaac and Alex Wong discuss how agencies can use AI to increase productivity and generate actionable insights.
If leaders are what they read, most of us are running on a questionable information diet. The quality of our thinking reflects the quality of what we let in. This article offers a sharper way to choose your inputs.
In today’s AI-enabled environment, alignment alone is no longer enough to sustain consistent outcomes. Synchronization is the next phase.
A complex IT ecosystem helps ensure that AI models correctly interpret government communications and pass along accurate info about updates, alerts and other public matters. Part of that ecosystem is technology that can attribute what data the AI pulls from what source, and when.
AI is being treated like a tool instead of what it actually is: a capability that should be embedded into how work gets done. The organizations seeing real results aren’t the ones experimenting the most. They’re the ones aligning AI to mission outcomes, operational workflows, and decision-making.
Employees must be able to access, understand and analyze the data they need, but often workers themselves are an obstacle to data access. Three clear tactics, however, can transform a workforce culture into one that welcomes data collaboration.
Rancho Mirage uses GIS to uncover wireless coverage gaps. The city’s maps of cellular performance helped residents understand service quality, guide infrastructure planning, and accelerate collaboration with wireless carriers to expand reliable connectivity across a fast-growing desert resort community.
Legacy technology wasn’t designed for the volume and variety of data that agencies handle today, and AI exacerbates the problem. Certain tactics, however, will help agencies leave their outdated tech behind — so employees can access data when and how they should.
In government, the pressure to move fast on AI technology is real, but so are the risks. But agencies are learning that strong data governance will create a foundation for responsible, transparent, trustworthy AI.